Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.

This package is SEMI-SECS-communicate implementation on Python3.

KEGG Module Evaluation Tool

A lightweight tool that allows you to showcase the download count of your Ruby gem using shield.io.

ICD-9 to ICD-10 conversion using CMS General Equivalence Mapping (GEM)

[EXTRACT][RETRIEVAL][METRIC]A Simple Framework for Image Retrieval

Utilities/notes for the Appareden fan translation.

First comprehensive benchmark for Generative Engine Marketing (GEM), an emerging field that focuses on monetizing generative AI by seamlessly integrating advertisements into Large Language Model (LLM) responses. Our work addresses the core problem of ad-injected response (AIR) generation and provides a framework for its evaluation.

Benchmarking ChIP-seq peak callers

Provably Rare Gem Rarity gems API

This repository is for storing the code I have written for an internship started during the summer of 2021 at Université du Québec à Montréal (UQÀM) under the direction of professor Alejandro Di Luca. The internship concerns the evaluation of the Canadian Regional Climate Model 6 - Global Environmental Multiscale 5 (CRCM6-GEM5)'s energy balance.

Naver AI Hackathon 2018 : Image Retrieval Challenge

Hind- and fore-cast runs over Canadian Rockies

LOLDeps stands for Living Off the Land Dependencies, it is a simple lightweight python tool that uses native package managers to highlight vulnerabilities in your package manifests and alerts you when it finds issues.

A simple telescope controller for a telescope with basic stepper motor drives

Goes around tagging things

Different approaches to calculate mappability and GC-rich tracks for danio rerio genomes

A Image Retrieval System

A replay-based continual learning, where models preserve past knowledge through stored exemplars or pseudo-samples. Implements Experience Replay (ER), Gradient Episodic Memory (GEM), and iCaRL. Provides modular dataset buffering, memory selection policies, and evaluation utilities for reproducible experiments on vision and NLP tasks.